DocumentCode
620588
Title
A survey of intelligent network fault diagnosis technology
Author
Lv Feng ; Li Xiang ; Wang Xiu-qing
Author_Institution
Coll. of Phys. Sci. & Inf. Eng., Hebei Normal Univ., Shijiazhuang, China
fYear
2013
fDate
25-27 May 2013
Firstpage
4874
Lastpage
4879
Abstract
This paper firstly discusses the common fault types of networks, and the necessity and importance of intelligent fault diagnosis for networks. Secondly, the basic process for network diagnosis systems is put forward. Thirdly, the basic idea and various popular methods of network fault diagnosis based on the intelligent technology, such as: Expert System, Bayesian Network, Rough Set and Neural Networks, are reviewed. Finally, the existing problems and the future research direction for network fault diagnosis are discussed.
Keywords
artificial intelligence; computer network reliability; fault diagnosis; fault tolerant computing; Bayesian network; expert system; intelligent network fault diagnosis technology; network diagnosis systems; neural networks; rough set; Computers; Data models; Educational institutions; Fault diagnosis; Neural networks; Support vector machines; Training; Data Mining; Machine Learning; Network Fault Diagnosis; Pattern Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561817
Filename
6561817
Link To Document